Literature DB >> 1620055

Systematic bias in basis material decomposition applied to quantitative dual-energy x-ray imaging.

E L Gingold1, B H Hasegawa.   

Abstract

Basis material decomposition represents dual-energy x-ray attenuation measurements in terms of the attenuation coefficients or thickness of two standard materials which, when combined, produce attenuation equivalent to the object being measured. In tomographic imaging, the reconstructed attenuation coefficient is calculated in terms of the attenuation coefficients of the basis materials, while in projection imaging, the thicknesses of two materials can be specified in terms of the basis materials. This analysis shows that basis material decomposition is exact in a dual-monoenergetic system, but for broad spectra, x-ray beam hardening introduces a bias into quantitative measurements. The error is small enough that it can be ignored when dual-energy imaging is used primarily to enhance the contrast of one material over another. The magnitude of the error in quantitative measurements depends on the details of the specific application including the energy of the x-ray beam, and the composition and thickness of the materials included in the object. The magnitude of the error for dual-energy bone densitometry has been analyzed using a first-order propagation of error analysis and the calculations verified by computer simulation. This analysis shows that the magnitude of the systematic error can be as high as 3% for 1 g/cm2 of bone mineral when aluminum and acrylic basis materials are used for the calibration. This systematic error is eliminated when the basis materials are the same as the materials that are being quantified (i.e., bone mineral and water).

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Year:  1992        PMID: 1620055     DOI: 10.1118/1.596889

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Dimensionality and noise in energy selective x-ray imaging.

Authors:  Robert E Alvarez
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

2.  Comparison of three tissue composition measurement techniques using digital mammograms--a signal-to-noise study.

Authors:  D S Breitenstein; C C Shaw
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

3.  Determination of linear x-ray attenuation coefficients of pathological brain tissues and use of filters in tissue contrast enhancement in computed tomography.

Authors:  M Erdem Sagsoz; Fazlı Erdogan; Salih Z Erzeneoglu; İhsan Yuce
Journal:  Eurasian J Med       Date:  2010-08

4.  The impact of calibration phantom errors on dual-energy digital mammography.

Authors:  Xuanqin Mou; Xi Chen; Lijun Sun; Hengyong Yu; Zhen Ji; Lei Zhang
Journal:  Phys Med Biol       Date:  2008-10-20       Impact factor: 3.609

5.  Statistical sinogram restoration in dual-energy CT for PET attenuation correction.

Authors:  Joonki Noh; Jeffrey A Fessler; Paul E Kinahan
Journal:  IEEE Trans Med Imaging       Date:  2009-03-24       Impact factor: 10.048

6.  Dual-energy x-ray approach for object/energy-specific attenuation coefficient correction in single-photon emission computed tomography: effects of contrast agent.

Authors:  Kheng Lim Goh; Soo Chin Liew
Journal:  J Med Imaging (Bellingham)       Date:  2021-05-31
  6 in total

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